The Extractive Economy

A Strategic Research Report on Resource Dependence, Value Capture, Critical Minerals, Institutional Power, Environmental Externalities, and the Transition from Extraction to Durable Economic Value

Independent Research Report | August 2026

Executive Summary

The global economy remains physically dependent on extraction even as its technological composition changes. Oil, gas, metals, minerals, biomass, land, water, construction materials, and increasingly critical minerals provide the physical substrate for housing, transportation, food production, electricity networks, manufacturing, defense, digital infrastructure, data centers, and artificial intelligence. Global material use increased from approximately 30 billion tonnes in 1970 to 106 billion tonnes in 2020, and the United Nations Environment Programme estimates that, without significant changes in production and consumption systems, extraction could increase by almost 60 percent from 2020 levels by 2060. Resource extraction and processing already account for more than half of global greenhouse-gas emissions and approximately 40 percent of particulate-matter-related health impacts. The economic system is therefore not becoming less dependent on physical resources; it is becoming dependent on a different and increasingly strategic portfolio of them.

The central strategic issue, however, is not whether extraction occurs. Modern economies require physical resources, and lower-income economies require substantial additional material consumption to construct housing, sanitation, hospitals, electricity systems, transportation, communications infrastructure, and productive industry. The more consequential question is what remains after extraction occurs. A country can export enormous quantities of oil, copper, cobalt, lithium, timber, agricultural commodities, or other resources while retaining relatively little durable value if ownership, processing, intellectual property, finance, technology, high-value employment, taxation, trading margins, and downstream production are concentrated elsewhere. Another country can use the same period of resource abundance to accumulate infrastructure, fiscal assets, human capital, technological capability, competitive firms, industrial knowledge, and institutions capable of generating prosperity after the original resource advantage declines.

This report therefore defines an extractive economy more broadly than an extractive industry. Mining and petroleum are physical extraction activities. An extractive economy is a system in which economic, natural, social, or productive value is removed faster than durable productive capability is accumulated or regenerated. The relevant unit of analysis is consequently not the mine, well, forest, or commodity shipment in isolation. It is the complete architecture through which resources become revenues, revenues become—or fail to become—capabilities, environmental liabilities accumulate, ownership determines bargaining power, institutions allocate rents, and upstream physical assets connect to downstream economic value.

This distinction matters because commodity dependence remains widespread. During 2021–2023, 95 of 143 developing economies met UN Trade and Development's definition of commodity dependence, meaning commodities accounted for more than 60 percent of merchandise export revenues. Approximately two-thirds of developing economies and more than four-fifths of least-developed economies therefore remained structurally exposed to commodity markets. Dependence does not mechanically produce underdevelopment, but it increases exposure to external price shocks, fiscal volatility, concentrated export structures, exchange-rate pressures, political competition over rents, and the possibility that temporary resource revenues will substitute for the construction of broader productive capability.

At the same time, electrification, digitalization, artificial intelligence, advanced manufacturing, and defense are creating a new geography of resource dependence. The International Energy Agency expects demand for key critical minerals to almost double by 2040 under stated policies. Lithium demand is projected to more than triple; nickel, graphite, and rare-earth demand could rise approximately 50–90 percent; and copper records the largest absolute increase, adding roughly seven million tonnes of demand. The transition away from fossil fuels is therefore not a transition away from extraction. It is a transition toward an electricity- and mineral-intensive economic architecture in which copper, lithium, graphite, nickel, cobalt, rare earths, and related processing capabilities become increasingly strategic.

The resulting distribution of power is not determined by geology alone. Mine production, corporate ownership, refining, specialized equipment, logistics, finance, intellectual property, commodity trading, recycling, and downstream manufacturing can be controlled by different countries and firms. Indonesia may physically produce nickel while foreign-headquartered companies control significant portions of production. The Democratic Republic of the Congo may contain and extract much of the world's cobalt while ownership, refining, financing, battery materials, cell manufacturing, and downstream margins accrue elsewhere. Resource sovereignty and economic sovereignty are therefore not equivalent.

This leads to a more important strategic conclusion: modern resource power accumulates around bottlenecks, not merely deposits. A mineral deposit is valuable, but the ability to refine the mineral at specification, finance the project, manufacture specialized equipment, control logistics, secure customers, operate high-purity processing, own relevant technology, recycle the material, or manufacture the downstream product can generate equal or greater strategic leverage. China accounted for more than 90 percent of the increase in global copper-smelting capacity between 2005 and 2025, raising its share of global capacity from approximately 15 percent to 50 percent. Such concentration demonstrates that possession of raw material is only the first layer of industrial power.

The same systems logic applies to environmental costs. Conventional economic accounting records commodity output, investment, employment, exports, and profits more readily than it records depletion, biodiversity loss, water stress, public-health impacts, remediation obligations, ecosystem degradation, and foregone future options. A project can therefore appear economically productive within a corporate or annual GDP boundary while destroying value outside that boundary or beyond the reporting horizon. The relevant strategic objective is not maximum extraction, maximum local processing, or maximum short-term fiscal revenue. It is maximum durable value retained from each unit of irreversibly depleted natural capital after economic, institutional, social, and environmental costs are considered.

The transition from an extractive economy to a durable economy is consequently a conversion problem. Geological wealth must be converted into financial wealth, human capability, productive infrastructure, institutional strength, technological knowledge, competitive businesses, and economic complexity. Extraction can finance that transition, but it does not guarantee it. If the resource eventually declines and the principal inheritance is depleted deposits, environmental liabilities, consumption expenditure, weak institutions, and continued dependence on commodity exports, the economy has monetized an asset without reproducing the productive capacity represented by that asset.

Artificial intelligence makes this problem more consequential rather than less. AI appears intangible because its visible outputs are software, predictions, generated content, and automated decisions. Its underlying infrastructure is physical: semiconductor fabrication, copper-intensive electricity systems, data centers, cooling, transmission networks, batteries, transformers, rare-earth components, construction materials, water, and large quantities of reliable electricity. AI therefore connects the digital economy directly to resource strategy. Countries that merely supply the minerals and energy required by the AI economy may capture far less value than countries controlling chips, models, cloud infrastructure, equipment, intellectual property, capital, and downstream applications. The same historical asymmetry between raw-material production and industrial value capture can consequently reappear in a technologically advanced form.

The strategic question for the next two decades is therefore not simply which countries possess resources. It is which countries and companies control the systems that transform resources into enduring economic power.

1. The Extractive Economy Is an Economic Architecture, Not an Industry Classification

The conventional definition of extraction begins with the physical removal of resources. Mining removes minerals from geological deposits; petroleum production removes hydrocarbons from reservoirs; forestry removes biomass; fisheries remove biological stocks; agriculture converts land, water, nutrients, and biological productivity into food and commodities; and construction depends on enormous flows of sand, aggregate, cement inputs, steel, timber, and other materials. These activities convert natural stocks and regenerative flows into economically usable inputs. They are indispensable to modern civilization and cannot meaningfully be analyzed as an economic anomaly.

The broader strategic problem begins after physical extraction. A resource-producing economy creates durable prosperity only when some meaningful portion of the value generated by depletion is converted into assets and capabilities capable of generating future value. An oil exporter that consumes most of its revenue while importing refined products, machinery, technology, and expertise remains dependent on continued extraction. A copper producer exporting concentrate while importing electrical equipment containing processed copper occupies a relatively weak position in the value chain. A lithium producer that supplies raw material while battery chemistry, cathode production, cell manufacturing, intellectual property, financing, and recycling occur elsewhere may possess the geology without possessing the industry's principal profit pools.

The distinction is therefore between resource monetization and capability accumulation. Resource monetization transforms a natural endowment into present income. Capability accumulation transforms part of that income into productive systems—skills, institutions, infrastructure, technology, financial assets, industrial firms, knowledge, and market positions—that remain valuable after the resource is depleted, substituted, recycled, or economically displaced. The first process produces cash flow. The second produces economic durability.

This is why the contribution of mining or petroleum to GDP cannot independently determine whether an economy is excessively extractive. A high contribution can reflect successful exploitation of an extraordinary natural advantage accompanied by disciplined reinvestment. It can also reveal dangerous dependence. A lower contribution can reflect successful diversification, limited natural resources, or simply poor production performance. The decisive measure is not the percentage of GDP generated by extraction but the quality of the transformation from depleted assets into enduring productive capacity.

2. Commodity Dependence Creates a Structural Exposure Before It Creates a Crisis

Commodity dependence remains one of the largest structural vulnerabilities in the developing world. UNCTAD classifies an economy as commodity-dependent when commodities represent more than 60 percent of merchandise export revenue. During 2021–2023, 95 of 143 developing economies met that threshold, including more than 80 percent of least-developed countries. This concentration matters because an economy dependent on a narrow group of externally priced commodities imports volatility into its trade balance, government revenue, exchange rate, investment cycle, employment expectations, and political system.

Commodity prices can rise rapidly during periods of scarcity and decline just as rapidly when global growth slows, supply expands, technologies change, inventories increase, or substitution occurs. Governments whose budgets become calibrated to boom-period revenues can therefore inherit expenditure structures that are politically difficult to reverse during downturns. Firms invest based on assumptions about future demand; households and local economies reorganize around projects; infrastructure is built to serve production; governments borrow against anticipated revenues. What initially appears to be an export advantage can therefore create a network of dependencies whose fragility becomes visible only after the commodity cycle changes.

The risk can emerge before production begins. Research on major oil, gas, and mineral discoveries has identified a “presource” problem in which expectations of future revenue encourage borrowing and expenditure before the revenue exists. This is strategically important because it demonstrates that natural-resource risk is partly informational and institutional rather than purely physical. A discovery changes expectations. Expectations change financing. Financing changes political commitments. Political commitments change spending. The resource can therefore alter the economic system before the first commercial unit is extracted.

Commodity dependence should consequently be understood as an exposure architecture. The relevant question is not whether commodity exports are inherently undesirable. It is how much of the country's fiscal capacity, foreign exchange, employment, infrastructure, political bargaining, and investment expectations depend on variables that the country does not control. The greater that dependency, the greater the value of diversification, stabilization mechanisms, fiscal buffers, transferable industrial capabilities, and institutions capable of resisting procyclical political pressure.

3. Resource Abundance Does Not Determine Development; Conversion Quality Does

The resource-curse literature is often compressed into the proposition that natural-resource abundance causes weak development. The empirical and institutional picture is more conditional. Resource wealth can coexist with high human development, strong public finances, sophisticated industry, and substantial intergenerational financial assets. It can also coexist with corruption, conflict, debt, fiscal instability, environmental degradation, capital flight, and weak diversification. Geology creates the opportunity set; institutions and economic architecture influence how that opportunity is converted.

Resource rents intensify this distinction because they create unusually large economic surpluses around assets whose supply is geographically constrained. Those rents attract competition among governments, firms, political groups, investors, local communities, intermediaries, and foreign states. Where institutions can allocate rents transparently, tax them effectively, invest them productively, constrain corruption, and maintain fiscal discipline, resource wealth can accelerate capability accumulation. Where institutions are weak, the same rents can increase incentives for capture, patronage, opaque contracting, short-term spending, and political concentration.

The causal direction is also recursive. Weak institutions can generate poor resource outcomes, but large rents can subsequently weaken institutions by increasing the value of controlling the state. Revenue volatility can undermine budgeting. Exchange-rate appreciation can weaken non-resource exporters. High wages in extraction can attract skilled workers away from other industries. Governments receiving large resource revenues may become less dependent on broad taxation, weakening the fiscal relationship between citizens and the state. None of these mechanisms operates identically in every country, but together they explain why resource abundance acts more like an amplifier than a predetermined outcome.

The strongest strategic conclusion is therefore that resources magnify the quality of the system through which they pass. A capable system can convert geological advantage into productive capital. A fragile system can convert the same advantage into greater fragility.

4. The Strategic Contest Is Over Rent Capture, Not Production Volume

Resource strategy is frequently evaluated using production volumes, export receipts, foreign investment, or headline tax rates. These metrics describe activity but do not reveal where economic value ultimately accumulates. The central economic question is who captures the rent and whether the captured value becomes durable productive capacity.

Value can be distributed through royalties, corporate income taxes, production-sharing agreements, dividends, state ownership, concession payments, export duties, employment income, supplier contracts, infrastructure, financing margins, commodity trading, processing, technology ownership, and downstream manufacturing. These channels interact. A government can negotiate a high royalty while accepting unfavorable transfer-pricing arrangements elsewhere. A country can mandate domestic processing while subsidizing electricity so heavily that much of the apparent local value addition represents transferred public value. State ownership can increase domestic participation while simultaneously concentrating political risk. Local-content requirements can create competitive suppliers or protected firms permanently dependent on one project.

The appropriate objective is therefore not maximum domestic capture at every node. That approach can make projects uneconomic, discourage investment, or create inefficient industries. The objective is maximum competitively sustainable value retention across the life of the resource system. This requires understanding which portions of the value chain the economy can realistically control, which capabilities can become internationally competitive, which rents can be taxed efficiently, and which infrastructure investments create benefits beyond the project itself.

Transparency is fundamental because value cannot be governed effectively when ownership, contracts, obligations, and payments are opaque. Contract disclosure and beneficial-ownership transparency do not guarantee good outcomes, but they reduce information asymmetry and increase the ability of governments, investors, citizens, and oversight institutions to understand who controls assets, who bears obligations, and where economic value is moving.

5. Critical Minerals Are Rebuilding the Extractive Economy Around New Chokepoints

Electrification is changing the material composition of the global economy. Electric vehicles, batteries, renewable generation, transmission systems, advanced electronics, defense platforms, data centers, and AI infrastructure require substantial quantities of copper, lithium, nickel, graphite, cobalt, rare earths, and other minerals. Under stated policies, the IEA expects demand for major critical minerals to almost double by 2040, with lithium demand more than tripling and copper experiencing the largest absolute increase.

This transition changes the structure of geopolitical dependence. Fossil fuels are continuously consumed and therefore require recurring flows of fuel. Many transition minerals are embedded in infrastructure and can eventually be recovered, reused, or recycled. Yet the initial construction of the electrified economy requires enormous primary material inputs, and rapid demand growth can create periods in which mining, refining, and processing capacity become binding constraints.

The resulting strategic competition is therefore shifting from control of fuel flows toward control of material transformation systems. Mining remains essential, but refining purity, chemical processing, specialized equipment, power availability, logistics, financing, technology, permitting, and downstream manufacturing increasingly determine whether geological resources translate into industrial power.

The energy transition does not eliminate extraction. It changes which resources matter, where the bottlenecks sit, how quickly demand grows, and which capabilities capture the highest-value positions.

6. Artificial Intelligence Extends the Same Logic Into the Digital Economy

Artificial intelligence is often discussed as though economic value were becoming detached from physical resources. The opposite is occurring beneath the software layer. AI systems require semiconductors, semiconductor fabrication equipment, advanced packaging, data centers, high-capacity electricity connections, transformers, transmission infrastructure, backup power, cooling systems, water, copper, steel, concrete, batteries, and sophisticated supply chains. Scaling computation therefore increases dependence on physical infrastructure even while the economic output becomes increasingly digital.

This creates a new form of resource asymmetry. A country can supply electricity, copper, rare earths, or other inputs into the AI economy while capturing only a small portion of the resulting economic value. Higher-value positions may remain concentrated in chip design, semiconductor equipment, cloud infrastructure, foundation models, software ecosystems, intellectual property, financing, and enterprise applications. The relationship resembles earlier commodity structures: one economy supplies physical inputs while another captures the technological and commercial margin.

AI can simultaneously improve resource economics. Machine learning can support geological exploration, predictive maintenance, ore sorting, process optimization, energy management, water monitoring, logistics, environmental surveillance, commodity forecasting, and supply-chain traceability. These applications can reduce costs and improve resource productivity. They do not automatically change the underlying distribution of value. If the AI systems, data infrastructure, models, platforms, and intellectual property remain externally controlled, operational efficiency can increase while strategic dependency persists.

The relevant development question is therefore not whether a resource economy “uses AI.” It is whether AI increases domestic capability accumulation. A mine becoming more automated is not necessarily evidence of economic upgrading if automation reduces local employment while technology ownership, engineering capability, data control, and productivity gains accrue externally. AI becomes developmentally significant when it builds transferable technical capability, raises resource productivity, strengthens governance, improves environmental performance, creates new businesses, or helps move the economy into higher-value portions of the production system.

7. Mine Ownership and Economic Sovereignty Are Different Variables

Critical-mineral markets demonstrate that geographic production and economic control can diverge significantly. A resource lies inside a national territory, but the company extracting it may be foreign-owned; financing may originate elsewhere; specialized equipment may be imported; processing may occur abroad; commodities may be traded through international hubs; and downstream manufacturing may be concentrated in another industrial system.

The distinction is visible in nickel and cobalt. Indonesia has become the dominant geographic producer of nickel, yet Indonesian-headquartered companies have controlled only a minority of production while Chinese and European firms hold substantial positions. The Democratic Republic of the Congo dominates global cobalt mining, while locally owned companies control only a small portion of mine supply. The physical resource therefore provides bargaining power without guaranteeing control over the economic system surrounding it.

This matters because national strategies built entirely around “resource sovereignty” can overestimate the value of geology. Sovereignty over deposits creates an initial negotiating position. Durable economic sovereignty requires capabilities across taxation, ownership, technology, infrastructure, finance, processing, market access, and governance.

A country can own the ground and still rent much of the economic system required to monetize what lies beneath it.

8. Processing Has Become a Strategic Layer of Industrial Power

The growing concentration of mineral processing is one of the most consequential features of the emerging resource economy. Mining is constrained by geology; processing is constrained by capability. Those constraints include energy cost, chemical expertise, environmental regulation, industrial equipment, scale, infrastructure, financing, technical knowledge, and accumulated operating experience.

The difference is strategically significant. Geological deposits cannot be relocated, but processing capability can be deliberately built and concentrated. Once concentrated, it develops network effects: skilled labor clusters around existing plants, suppliers locate nearby, customers integrate around reliable production, infrastructure improves, financing becomes easier, and accumulated operational knowledge lowers execution risk. The resulting advantage can become self-reinforcing.

China's expansion in copper smelting illustrates this mechanism. Its share of global smelting capacity increased from approximately 15 percent in 2005 to around half by 2025, while it accounted for more than 90 percent of the increase in global capacity over that period. Such dominance cannot be explained by domestic copper geology alone. It reflects industrial strategy, infrastructure, capital, scale, energy, technology, supply-chain integration, and the cumulative advantage created by an established manufacturing ecosystem.

The implication for producer economies is not that every mineral should be processed domestically. Some economies lack the power, water, scale, infrastructure, environmental capacity, technical expertise, or market proximity required to process competitively. The correct strategic question is narrower and more rigorous: which downstream capabilities can this economy build at internationally competitive economics, and which of those capabilities remain valuable beyond the current resource cycle?

9. Power Resides in Chokepoints Across the Entire Value System

The traditional resource map identifies mines, wells, reserves, and production volumes. A strategic resource map identifies chokepoints. These can exist in refining technology, specialized equipment, export licenses, ports, shipping, commodity trading, high-purity chemicals, intellectual property, finance, skilled labor, recycling, power infrastructure, or downstream customer relationships.

A country without significant mineral deposits can therefore exercise substantial influence over mineral markets if it controls indispensable processing capacity. A company without mines can control specialized equipment required by miners. A financier can influence which projects reach production. A downstream buyer with sufficient scale can impose traceability or environmental standards upstream. A government can transform market structure through export controls. A technology company can create switching costs through proprietary processes.

This changes the unit of competitive analysis. The relevant question is no longer simply where resources are located. It is where scarcity, concentration, switching costs, decision rights, technological barriers, and profit pools accumulate across the complete system.

The same analytical principle increasingly applies to AI. Compute, advanced semiconductors, fabrication equipment, cloud infrastructure, energy access, specialized talent, proprietary data, model capabilities, and distribution channels represent different chokepoints. Resource economics and AI economics are therefore converging around a common strategic reality: control of a critical input matters, but control of the bottleneck through which many inputs must pass can matter more.

10. Environmental Externalities Can Turn Apparent Value Creation Into Value Destruction

Conventional economic measures capture market transactions more effectively than they capture depletion and ecological damage. A mining project can generate exports, profits, employment, and tax revenue while simultaneously degrading water systems, biodiversity, soil, public health, or future land productivity. Unless those effects are incorporated into the decision boundary, gross economic value can materially overstate net value creation.

The scale is large. Global material consumption increased from approximately 23 kilograms per person per day in 1970 to 39 kilograms by 2020. Resource extraction and processing account for more than half of global greenhouse-gas emissions and approximately 40 percent of particulate-matter-related health impacts. Biomass extraction and processing contribute disproportionately to land-use-related biodiversity loss and water stress. These impacts are also unevenly distributed: high-income economies consume substantially more materials per person than low-income economies and can externalize portions of the environmental burden of consumption through international trade.

The economic issue is not that every environmental effect can or should be reduced to a monetary price. Some ecological losses are uncertain, nonlinear, geographically specific, or effectively irreversible. The more important requirement is that they not disappear simply because conventional financial accounting does not recognize them.

A credible resource strategy must therefore distinguish between cash profitability and system value creation. If a project produces current income by creating liabilities that future governments, communities, or ecosystems must absorb, part of its apparent return represents deferred cost rather than genuine value.

11. Irreversibility Changes the Economics of Extraction

Extraction is fundamentally different from many ordinary economic activities because depletion can be irreversible. A non-renewable deposit cannot be extracted twice. Extinct species cannot be recreated through fiscal transfers. Some aquifers recover only over extremely long periods. Severe ecosystem damage may be technically reversible but economically unrealistic to repair. Tailings liabilities can persist long after revenues have disappeared.

Irreversibility means the correct decision standard cannot rely exclusively on expected annual returns. Decisions that permanently reduce future options require a higher threshold of evidence because mistakes cannot be cheaply reversed. The relevant analysis must consider not only expected value but downside asymmetry, recovery time, environmental thresholds, uncertainty, and who inherits the liability if assumptions fail.

This is particularly important during commodity booms, when high prices can make marginal deposits appear economically compelling. If prices subsequently normalize while environmental obligations remain, private returns and social returns can diverge sharply. The system can privatize the upside during favorable conditions while socializing remediation costs after closure.

Durable resource strategy therefore requires explicit treatment of closure, restoration, financial assurance, water liabilities, tailings risk, and post-extraction regional economics before extraction begins rather than after the asset has lost economic value.

12. The Extractive Economy Is Also a Human-Capital System

Large-scale mining is capital-intensive, but the wider resource economy supports extensive formal, informal, and artisanal employment. The World Bank estimates that approximately 45 million people work directly in artisanal and small-scale mining and more than 225 million participate directly or indirectly in its broader labor value chain across Africa, Asia, and Latin America.

This scale means resource reform cannot be evaluated solely through corporate productivity. Formalization, traceability requirements, mine closures, mechanization, environmental restrictions, or changes in purchasing practices can improve safety and governance while simultaneously disrupting livelihoods. The transition problem is therefore not simply how to regulate extraction but how to improve the quality and durability of economic participation around it.

The highest-value development outcome is rarely permanent dependence on low-productivity extraction employment. It is the creation of transferable capabilities. Engineering, industrial maintenance, logistics, environmental services, construction management, digital operations, electrical systems, equipment servicing, finance, project management, geological services, and safety expertise can serve multiple industries after a particular deposit declines.

Resource projects should consequently be evaluated partly by the mobility of the capabilities they create. Employment that disappears when the mine closes provides income. Capability that remains useful across sectors provides economic resilience.

13. Financial Architecture Can Extract Value After the Commodity Has Already Been Sold

Physical production does not guarantee domestic value retention. Revenue can leave a producing economy through tax avoidance, opaque ownership, trade mispricing, corruption, unfavorable financing structures, transfer pricing, poorly governed state enterprises, or inefficient public expenditure.

This produces an important distinction between physical extraction and financial extraction. A government may negotiate an apparently favorable mining agreement but fail to collect the expected tax base. It may collect substantial revenue but convert it into politically attractive consumption rather than productive investment. A sovereign fund may accumulate financial assets while domestic institutional or human-capital constraints remain unresolved. A state-owned company may increase national ownership while reducing transparency or introducing fiscal liabilities.

No single mechanism therefore solves the value-retention problem. Higher taxation does not guarantee better development. State ownership does not guarantee national benefit. Privatization does not guarantee efficiency. Local content does not guarantee capability. Sovereign wealth funds do not guarantee intergenerational equity.

Durable value requires the entire chain—contracting, ownership, taxation, collection, budgeting, saving, investment, accountability, and capability development—to remain sufficiently coherent that value is not lost between extraction and transformation.

14. Local Content Should Build Competitive Capability, Not Permanent Dependency

Governments often attempt to retain more resource value through local-content requirements. The intention is economically understandable: mines and energy projects create large procurement budgets that can anchor domestic businesses. The risk is confusing domestic purchasing with industrial development.

A local supplier that survives only because a project is legally required to purchase its higher-cost product has captured expenditure but may not have accumulated competitiveness. If the mine closes or protection is removed, the company may disappear. In contrast, a supplier that uses anchor demand to develop engineering expertise, quality systems, scale, financing, technology, and customers across multiple industries can outlive the project.

The distinction is between localization and capability formation. Localization measures where spending occurs today. Capability formation measures whether that spending creates firms and skills capable of competing tomorrow.

The strongest local-development strategies therefore target transferable sectors: industrial maintenance, equipment servicing, logistics, construction, environmental management, digital operations, energy services, engineering, professional services, and other capabilities with demand beyond a single commodity. Extractive projects can provide the initial customer base, but the strategic objective should be to make the resource sector progressively less important to the suppliers it helped create.

15. Circularity Changes Resource Power Without Eliminating Primary Extraction

Recycling and circularity are sometimes presented as substitutes for mining. In rapidly growing material systems, they are better understood as complementary supply architectures. Large secondary material stocks become available only after products and infrastructure have first been manufactured and used. Rapid growth can therefore require substantial primary extraction even while recycling rates increase.

Over time, however, circularity changes competitive dynamics. Materials already embedded in buildings, vehicles, batteries, electronics, grids, and industrial equipment become an above-ground resource base. Collection, sorting, pre-treatment, material recovery, purification, and remanufacturing then become strategically valuable capabilities.

The IEA expects recycling to provide a growing share of critical-mineral supply through 2040. Yet recycling capacity itself is concentrated, demonstrating that circularity does not automatically decentralize economic power. If one country controls a large share of battery pre-treatment and material recovery, the circular economy can reproduce the same chokepoint dynamics visible in primary refining.

Producer economies should therefore avoid treating today's geological advantage as permanent. The future resource system will increasingly combine mines with recycled supply, substitution, efficiency, redesigned products, and new chemistries. The strategic window created by current scarcity should be used to build capabilities that remain valuable when the composition of scarcity changes.

16. AI Can Improve Resource Productivity but Can Also Accelerate Extraction

AI introduces a dual effect into resource systems. On one side, better prediction and optimization can reduce waste. Exploration can become more targeted. Ore sorting can reduce unnecessary processing. Predictive maintenance can extend equipment life. Energy and water use can be optimized. Environmental anomalies can be detected earlier. Logistics can improve. Traceability can become more granular. These applications can increase the amount of economic output obtained from a given quantity of material and reduce certain operational externalities.

On the other side, efficiency can reduce extraction costs and make previously marginal resources economically viable. Better exploration can discover more deposits. Automated operations can expand production. Faster permitting analysis and optimization can shorten development cycles. AI therefore does not inherently reduce extraction. It increases capability, and the direction in which that capability is used depends on incentives, governance, prices, and environmental constraints.

This is a classic productivity paradox. Greater efficiency at the unit level can coexist with greater aggregate resource consumption if lower costs stimulate additional demand or production. The relevant policy objective cannot therefore be “AI for efficiency” in isolation. It must connect efficiency improvements to absolute environmental constraints, resource productivity, restoration requirements, and long-term value creation.

The same technology can reduce waste or accelerate throughput. Governance determines which effect dominates.

17. The Emerging Competition Is for Economic Complexity

Commodity exports generate foreign exchange. Durable development requires something more difficult: the accumulation of capabilities that allow an economy to produce increasingly sophisticated goods and services independent of the original resource.

Resource projects can contribute to this process because they require infrastructure, engineering, finance, logistics, power, digital systems, environmental services, construction, equipment, and skilled labor. If those capabilities remain narrowly tied to extraction, the economy remains vulnerable. If they diffuse into manufacturing, infrastructure, energy, technology, and services, the resource sector becomes an anchor for broader economic complexity.

This distinction changes industrial policy. The objective should not necessarily be to build an entire battery supply chain because lithium exists domestically, nor to manufacture every copper-containing product because copper is mined locally. Vertical integration is economically attractive only where capabilities, scale, energy, capital, technology, logistics, and market access create a defensible position.

A more resilient strategy identifies adjacent capabilities with the highest probability of becoming independently competitive. Sometimes that will be refining. Sometimes it will be equipment maintenance, engineering, renewable power, recycling, industrial software, logistics, or financial services. Development strategy should follow competitive capability rather than symbolism.

18. Governments Should Manage Deposits as Depleting Balance-Sheet Assets

A non-renewable resource is a stock of national wealth. Extracting it transforms the composition of that wealth. Treating all resulting revenue as ordinary income therefore creates an accounting illusion: asset liquidation appears as recurring earnings.

The central fiscal challenge is conversion. Some resource revenue can finance current public needs, particularly in countries with severe infrastructure and human-development deficits. Some can finance productive domestic investment. Some may need to be saved to stabilize budgets against commodity volatility. Some can accumulate in diversified financial assets for future generations. The appropriate allocation depends on debt levels, institutional capacity, development needs, absorptive capacity, commodity volatility, and the expected life of the resource.

The governing principle is more durable than any specific fiscal rule:

geological wealth should be converted into other forms of wealth rather than merely consumed.

If decades of extraction leave improved infrastructure, stronger institutions, healthier and more educated citizens, competitive firms, financial assets, restored environments, and a more complex economy, depletion has financed transformation. If they leave depleted deposits and recurring expenditure commitments without productive assets, national wealth has been liquidated.

19. Businesses Face the Same Transition From Extraction to System Stewardship

Resource companies historically optimized around reserves, production, costs, commodity prices, capital intensity, and project execution. Those variables remain fundamental, but the commercial boundary is widening. Water availability, biodiversity, community legitimacy, permitting, carbon intensity, geopolitical exposure, traceability, supply-chain integrity, closure obligations, and host-country expectations increasingly affect asset value.

These are not simply reputation variables. Community opposition can delay production. Water scarcity can constrain output. Weak environmental performance can increase remediation liabilities. Geopolitical concentration can interrupt processing or market access. Poor traceability can exclude suppliers from regulated markets. Weak host-country value creation can produce political pressure for renegotiation.

The strategic distinction between sustainability and core economics therefore becomes increasingly artificial when environmental and social conditions determine whether the asset can operate.

For companies, durable value increasingly depends on whether the project remains economically legitimate to the systems surrounding it. The strongest operators will treat environmental performance, community capability, local economic development, supply security, and institutional relationships as components of asset resilience rather than peripheral obligations.

20. The Transition Beyond Extraction Is Not an Anti-Extraction Strategy

A durable economic model cannot be built around the assumption that physical resource consumption should decline everywhere simultaneously. Lower-income economies require substantial additional material investment to achieve adequate housing, sanitation, healthcare, electricity, transportation, communications, and industrial capacity. Electrification requires large mineral inputs. Urbanization requires cement, steel, timber, glass, and aggregate. AI and digitalization require electricity and physical infrastructure.

The strategic distinction is therefore not between extraction and no extraction. It is between resource use that builds enduring capability and resource use that perpetuates dependency while externalizing depletion costs.

This requires differentiated trajectories. High-consuming economies have greater capacity to reduce excessive material footprints, extend product life, improve utilization, increase recycling, and substitute services for material throughput. Lower-income economies may require higher absolute material consumption for development while simultaneously improving efficiency and avoiding the resource-intensive pathways followed by today's wealthy countries.

A globally credible resource strategy must hold both realities simultaneously. Material limits are real. Development needs are also real. Ignoring either produces an economically or politically unstable model.

21. The Strategic Metric Is What Remains After the Resource Leaves

Production volume measures operational activity. Export revenue measures commercial flow. Tax receipts measure fiscal capture. Employment measures one distributional outcome. None independently answers the central strategic question.

The more important test is:

What remains when extraction ends?

If the answer is depleted reserves, temporary employment, infrastructure useful only to the project, environmental liabilities, and government expenditure that cannot be sustained without continued extraction, the system remains extractive regardless of how profitable the boom appeared.

If the answer includes productive infrastructure, competitive firms, transferable skills, fiscal assets, technological capability, institutional strength, restored land, stronger energy systems, diversified exports, and higher economic complexity, extraction has functioned as development capital.

This distinction often remains invisible during favorable commodity conditions because both models can generate high GDP growth, foreign investment, rising government revenue, and strong exports. Their trajectories diverge when prices fall, deposits mature, technologies substitute away from existing commodities, environmental constraints tighten, or external financing becomes more expensive.

A durable economy uses the period in which extraction is economically advantageous to become progressively less dependent on the continuation of that advantage.

22. Strategic Outlook to 2040

The period to 2040 is likely to make resource strategy more important, not less. Critical-mineral demand is expected to rise substantially. Electricity networks will expand. AI and data-center infrastructure will increase demand for reliable power and physical equipment. Defense and advanced manufacturing will compete for overlapping mineral and industrial inputs. Governments will intervene more aggressively in strategic supply chains. Export controls, industrial subsidies, stockpiling, traceability requirements, and investment screening are likely to remain important instruments of economic security.

At the same time, the structure of scarcity will evolve. Recycling will provide larger material flows. Battery chemistries will change. Substitution will reduce dependence on some materials while increasing dependence on others. New mines and processing facilities will alter geographic concentration. Environmental constraints, water stress, community opposition, permitting complexity, and capital requirements will influence which resources can actually reach markets.

The resulting competition will not simply concern access to minerals. It will concern control over the architecture that converts physical resources into economic and technological power: refining, equipment, electricity, logistics, finance, intellectual property, industrial software, recycling, skilled labor, market access, and institutional capability.

AI intensifies this competition because it creates a new layer of economic value on top of the physical system. The countries supplying energy and materials to AI infrastructure will not necessarily capture the greatest AI value. The largest returns may accrue to those controlling semiconductors, models, cloud platforms, software, intellectual property, data, capital, and distribution. Resource-producing economies therefore face a familiar strategic choice in a new technological context: remain suppliers to someone else's value chain or use resource advantage to accumulate capabilities that move them toward higher-value positions.

Conclusion

The extractive economy is not principally a mining problem, an oil problem, or an environmental problem. It is an architecture of value creation, value distribution, depletion, capability accumulation, and power.

The world remains deeply dependent on physical resources. Global material use has more than tripled since 1970 and could increase substantially again by 2060 without major structural change. Commodity dependence remains concentrated across developing economies. Electrification is increasing demand for critical minerals. AI and digital infrastructure are adding new electricity, semiconductor, cooling, construction, and mineral requirements. Refining and processing remain highly concentrated. Environmental costs are substantial and unevenly distributed. Hundreds of millions of livelihoods connect directly or indirectly to resource economies.

The strategic error is therefore to frame the future as extraction versus technology, mining versus AI, or resources versus advanced industry. These systems are increasingly inseparable. AI requires physical infrastructure. Electrification requires minerals. Minerals require energy, capital, equipment, technology, institutions, water, and logistics. Digital value chains rest on physical ones.

The decisive variable is conversion.

Can geological wealth become financial wealth and productive capital? Can temporary resource revenues build permanent infrastructure? Can mines create skills that remain valuable after closure? Can procurement create competitive companies rather than protected dependencies? Can processing create genuine industrial advantage rather than subsidized capacity? Can environmental liabilities be prevented, priced, funded, and repaired? Can institutions remain transparent when rents become large? Can resource-producing economies acquire technological and commercial capabilities rather than remaining suppliers of raw inputs? Can AI improve resource productivity without simply accelerating throughput? Can advanced economies reduce unnecessary material consumption while lower-income economies obtain the physical resources required for development?

These are not separate questions. They describe one economic system.

For governments, the implication is to treat natural resources as depleting national balance-sheet assets whose conversion must be governed across generations. For companies, it is to treat environmental integrity, host-country capability, community legitimacy, traceability, and supply-chain resilience as components of long-term economics. For investors, it is to recognize that the value of a deposit depends increasingly on processing concentration, geopolitical exposure, water, permitting, social legitimacy, technology, infrastructure, and eventual closure liabilities. For technology companies, particularly those building AI infrastructure, it is to recognize that digital growth remains constrained by physical resources and the institutions governing them.

For resource-producing economies, the strategic conversation must therefore move beyond “How much can we extract?” and even beyond “How much can we process locally?”

The more consequential question is:

What economic capabilities will still exist when the resource advantage is gone?

That question separates resource monetization from development.

It separates temporary growth from durable prosperity.

And as critical minerals, electrification, artificial intelligence, geopolitical competition, environmental constraints, and industrial policy increasingly converge, the ability to convert finite physical advantage into renewable economic capability is likely to become one of the defining strategic questions of the next two decades.

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